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Machine Learning Intern Remote Jobs in Palm Bay, FL

Intern,Artificial Intelligence Job Code: 43406 Job Location:Melbourne, FL or Rochester, NY Job ... Work closely with current team members to support development of machine learning solutions using ...

Machine Learning Intern Remote information

See Palm Bay, FL salary details

$21.8K

$36.4K

$75.2K

How much do machine learning intern remote jobs pay per year?

As of Sep 1, 2026, the average yearly pay for machine learning intern remote in Palm Bay, FL is $36,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,800.00 and $39,300.00 per year, depending on experience, location, and employer.

What does a machine learning intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.

What are the key skills and qualifications needed to thrive as a machine learning intern?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a machine learning intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What are popular job titles related to Machine Learning Intern Remote jobs in Palm Bay, FL?

For Machine Learning Intern Remote jobs in Palm Bay, FL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern Remote jobs in Palm Bay, FL look for?

The top searched job categories for Machine Learning Intern Remote jobs in Palm Bay, FL are:

What cities near Palm Bay, FL are hiring for Machine Learning Intern Remote jobs?

Cities near Palm Bay, FL with the most Machine Learning Intern Remote job openings:

Infographic showing various Machine Learning Intern Remote job openings in Palm Bay, FL as of June 2026, with employment types broken down into 93% Full Time, 3% Part Time, 1% Temporary, and 3% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $36,379 per year, or $17.5 per hour.

Intern , Artificial Intelligence

L3HHCM20

Melbourne, FL • On-site, Remote

$22.50 - $41/hr

Full-time, Internship

Medical, Retirement, PTO

Posted 4 days ago


Job description

Job Title: Intern,Artificial Intelligence 

Job Code: 43406

Job Location:Melbourne, FL or Rochester, NY 

Job Schedule: 9/80:Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off

Job Description: 

  • Work closely with current team members to support development of machine learning solutions using data-driven models
  • Contribute to the improvement of MLOps and data pipelines with the current team
  • Work with multi-domain datasets and phenomenologies to develop effective data plans
  • Perform data curation and exploratory data analysis
  • Support proper regression testing, validation, and documentation of ML models
  • Identify relevant pre-trained models and collaborate with team to integrate into solution pipelines
  • Identify state-of-the-art (SotA) foundation models and advocate for use in larger AI solutions
  • Implement, maintain, and optimize containerization for seamless deployment, scaling of AI / ML workloads, and sharing with other teams for easy reproduction  

 Qualifications:

  • Pursuing a Master's Degree in Artificial Intelligence, Computer Engineering, Computer Science, Mathematics, or related technical degree at an accredited university. 

Preferred Additional Skills:

  • Experience with Differentiable Programming libraries (e.g., PyTorch, TensorFlow)
  • Experience with Database Manipulation libraries (e.g., SQL, NoSQL, Pandas, PySpark)
  • Experience with Python and building Virtual Environments (e.g., Conda, UV, Docker)
  • Experience developing models using classical and SotA Machine Learning
  • Experience maintaining training and inference infrastructure for ML models

PAY TRANSPARENCY:In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $25.50 - $48.00 per hour. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $22.50 - $41.00 per hour. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, educationassistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.